Question

The probability of rejecting the null hypothesis when, in fact, the null hypothesis is true is called the.

Answer 1

Type I error

Explanation:

A type I error is a false positive, which is when a researcher rejects a null hypothesis when it is, in fact, true

A type II error is a false negative, which is when a researcher fails to reject a null hypothesis and accepts it when it is, in fact, false.